Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 407 for “"Data Quality"”.
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Data quality measures for identity resolution
… with obtaining and sharing ground- truth data. Attempts to gain a comprehensive understanding of the identifiability of profile attributes are hindered by these issues. With a focus on overcoming these hurdles to effective research, this thesis first develops a methodology for sampling …
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Name matching for data quality mediator
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.
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Sustaining data quality - lessons from the field: creating and sustaining data quality within diverse enterprise resource planning and information systems
… the process of improving and sustaining the quality of data within enterprise resource planning and information (ERP) systems. The study not only established firmly that quality data is an absolute necessity for all organisations, none more so than those operating ERP systems, but identified …
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Enhancing genomic data quality through deep learning methods
… fundamentally constrained by incomplete genotype data, as genotyping arrays capture only a subset of common variants while rare and structural variants remain underrepresented. Without complete genomes, predictive models cannot reach their full potential. This thesis traces a research trajectory …
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Improving data quality in the Enlisted Master File
… establishes the importance of maintaining the quality of information in the Enlisted Master File (EMF). The Enlisted Master File is generated by the Navy Enlisted System, one of many applications which process data for the Manpower, Personnel, and Training community. To clarify what …
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Business Rule Generation for Product Data Quality Assurance
… are reliant on the electronic exchange of data, and are subject to difficulties caused primarily by poor data quality, leading to service failure throughout the supply chain. While the customer-oriented business sectors are well-served by available software solutions to these problems, few …
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A Framework for Data Quality for Synthetic Information
Data quality has been an area of increasing interest for researchers in recent years due to the rapid emergence of 'big data' processes and applications. In this work, the data quality problem is viewed from the standpoint of synthetic information. Based on the structure and complexity of synthetic …
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Improving commercial vehicle crash data quality in West Virginia
… methods to improve commercial carrier crash data in West Virginia including coal trucks. All organizations and agencies involved with commercial carrier safety need ready access to basic data describing the crash-involved operator, vehicle, and environment. Such data are necessary to any …
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Data quality management : foundations in error measurement and propagation
Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 1996.
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Investigation of Data Quality for Wind Tunnel Internal Balance Testing
Achieving high quality, consistency, and testing efficiency in wind tunnel tests using internal balances is accomplished through the use of new testing methods, analysis of data output, and standardized documentation of test procedures at the Texas A&M Low Speed Wind Tunnel. The wind tunnel is …
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Enchancing RFID data quality and reliability using approximate filtering techniques
… and inventory accuracy, there are serious data management issues that affect RFID data quality in preparing reliable solutions. The raw read rate in real world RFID deployments is often in the 60-70% range and naturally unreliable because of redundant and false readings. The redundant …
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New techniques for improving biological data quality through information integration
As databases become more pervasive through the biological sciences, various data quality concerns are emerging. Biological databases tend to develop data quality issues regarding data legacy, data uniformity and data duplication. Due to the nature of this data, each of these problems is non-trivial …
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Management of data quality when integrating data with known provenance
Abstract unavailable please refer to PDF
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Anomaly detection with data quality early warning systems in ATLAS
In this dissertation, the implementation of a Data-Quality Early Warning System (DQEWS) is explored. We use unsupervised Machine Learning (ML) methods to evaluate Data-Quality (DQ) in the ATLAS detector. We do so by observing and quantifying the evolution of Luminosity-Block (LB) data from Inner …
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Inter-database data quality management : a relational-model based approach
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.
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Understanding MapSwipe: Analysing Data Quality of Crowdsourced Classifications on Human Settlements
Geodata is missing to populate maps for usage of local communities. Efforts for filling gaps (automatically) by deriving data on human settlements using aerial or satellite imagery is of current concern (Esch et al., 2013; Pesaresi et al., 2013; Voigt et al., 2007). Among semi-automated methods and …
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Data quality enhancement in oil reservoir operations : an application of IPMAP
This thesis presents a study of data quality enhancement opportunities in upstream oil and gas industry. Information Product MAP (IPMAP) methodology is used in reservoir pressure and reservoir simulation data, to propose data quality recommendations for the company under study. In particular, a new …
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GeoExpert - An Expert System Based Framework for Data Quality in Spatial Databases
<p>Usage of very large sets of historical spatial data in knowledge discovery process became a common trend, and in order to obtain better results from this knowledge discovery process the data should be of high quality. In this thesis we proposed a framework 'GeoExpert' for data quality assessment …
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